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Data Engineer

PT Indocyber Global Teknologi

Jakarta Utara

On-site

IDR 200.000.000 - 300.000.000

Full time

Today
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Job summary

A technology solutions company in Jakarta Utara seeks a Data Engineer to design, implement, and manage data pipelines. Candidates should have a Bachelor's degree in Computer Science and 3 years of relevant experience. Proficiency in tools like Informatica and Python is essential, along with strong communication skills for interfacing with business leaders.

Qualifications

  • 3 years of experience in Data Modeling, Data Engineering, or ETL development.
  • Proficient in data pipeline design and management.

Responsibilities

  • Design and manage end to end data pipelines.
  • Ensure data quality and integrity.
  • Automate manual processes for optimization.

Skills

Data modeling
Data pipeline management
ETL development
Communication skills

Education

Bachelor degree in Computer Science or IT related fields

Tools

Informatica
Python
SSIS
PowerBI
Cloudera
Azure Data Factory
Job description
Responsibilities
  • Design, implement and manage end to end data pipelines (ETL, data streaming and data warehousing) to make data easily accessible for analysis.
  • Design end to end ETL as per-use cases and business requirements.
  • Ensure high data quality and integrity from data sources.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
Qualifications
  • Bachelor degree in Computer Science, or IT related fields
  • 3 years of Data Modeler, Data Engineering, ETL developer or related field
  • Experience using Informatica, Python
  • Experience using SSIS, SSAS, SSRS, Pentaho, PowerBI, Cloudera, Azure Databricks, Azure Data Factory, Unity Catalogue
  • Communication skills, especially explaining technical concepts to non-technical business leaders.
  • Exposure in Datalake, Kafka, Tableau
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